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Fit Bayesian Gaussian graphical models. The methods are separated into two Bayesian approaches for inference: hypothesis testing and estimation. There are extensions for confirmatory hypothesis testing, comparing Gaussian graphical models, and node wise predictability. These methods were recently introduced in the Gaussian graphical model literature, including Williams (2019) <doi:10.31234/osf.io/x8dpr>, Williams and Mulder (2019) <doi:10.31234/osf.io/ypxd8>, Williams, Rast, Pericchi, and Mulder (2019) <doi:10.31234/osf.io/yt386>.
Version: | 2.1.3 |
Depends: | R (≥ 4.3.0) |
Imports: | BFpack (≥ 1.2.3), GGally (≥ 1.4.0), ggplot2 (≥ 3.2.1), ggridges (≥ 0.5.1), grDevices, MASS (≥ 7.3-51.5), methods, mvnfast (≥ 0.2.5), network (≥ 1.15), reshape (≥ 0.8.8), Rcpp (≥ 1.0.4.6), Rdpack (≥ 0.11-1), sna (≥ 2.5), stats, utils |
LinkingTo: | Rcpp, RcppArmadillo, RcppDist, RcppProgress |
Suggests: | abind (≥ 1.4-5), assortnet (≥ 0.12), networktools (≥ 1.3.0), mice (≥ 3.8.0), psych, knitr, rmarkdown, testthat (≥ 3.0.0) |
Published: | 2024-07-05 |
DOI: | 10.32614/CRAN.package.BGGM |
Author: | Donald Williams [aut], Joris Mulder [aut], Philippe Rast [aut, cre] |
Maintainer: | Philippe Rast <rast.ph at gmail.com> |
BugReports: | https://github.com/donaldRwilliams/BGGM/issues |
License: | GPL-2 |
NeedsCompilation: | yes |
Citation: | BGGM citation info |
Materials: | NEWS |
CRAN checks: | BGGM results |
Package source: | BGGM_2.1.3.tar.gz |
Windows binaries: | r-devel: BGGM_2.1.3.zip, r-release: BGGM_2.1.3.zip, r-oldrel: BGGM_2.1.1.zip |
macOS binaries: | r-release (arm64): BGGM_2.1.3.tgz, r-oldrel (arm64): BGGM_2.1.3.tgz, r-release (x86_64): BGGM_2.1.3.tgz, r-oldrel (x86_64): BGGM_2.1.3.tgz |
Old sources: | BGGM archive |
Reverse imports: | easybgm |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.